The Cloud Computing Stream Analysis System for Road Artefacts Detection. - Marcin Badurowicz; Tomasz Cieplak; Jerzy Montusiewicz (CN, 2016)

Quality Assessment of the Neural Algorithms on the Example of EIT-UST Hybrid Tomography. - Grzegorz Klosowski; Tomasz Rymarczyk; Tomasz Cieplak; Konrad Niderla; Lukasz Skowron (Sensors, 2020)

Implementation of Block-Wise-Transform-Reduction Method for Image Reconstruction in Ultrasound Transmission Tomography. - Mariusz Mazurek; Konrad Kania; Tomasz Rymarczyk; Dariusz Wójcik; Tomasz Cieplak; Piotr Golabek (INFOCOM Workshops, 2021)

Image Reconstruction and Compression in Ultrasound Tomography Using Discrete Cosine Transform. - Konrad Kania; Mariusz Mazurek; Tomasz Rymarczyk; Tomasz Cieplak; Grzegorz Klosowski; Konrad Gauda (SenSys, 2021)

Determining Position of People in Closed Spaces using Radio Tomography Imaging. - Michal Styla; Andrzej Zawadzki; Tomasz Cieplak; Przemyslaw Adamkiewicz (SenSys, 2021)

Deep learning model optimization for faster inference using multi-task learning for embedded systems. - Michal Maj; Tomasz Rymarczyk; Tomasz Cieplak; Damian Pliszczuk (MobiCom, 2022)

Cross-Modal Perception for Customer Service. - Michal Maj; Tomasz Rymarczyk; Lukasz Maciura; Tomasz Cieplak; Damian Pliszczuk (MobiCom, 2023)

Autonomous Face Classification Online Self-Training System Using Pretrained ResNet50 and Multinomial Naïve Bayes. - Lukasz Maciura; Tomasz Cieplak; Damian Pliszczuk; Michal Maj; Tomasz Rymarczyk (Sensors, 2023)

Poster: Fusing radio tomography and RGB camera data for enhanced multi-person detection and tracking. - Michal Maj; Tomasz Rymarczyk; Lukasz Maciura; Dariusz Wójcik; Tomasz Cieplak; Damian Pliszczuk (SenSys, 2024)

Poster: Optimizing Radio Tomography with Edge Computing: A Low-Latency Approach for Human Detection. - Michal Maj; Tomasz Rymarczyk; Michal Styla; Tomasz Cieplak; Damian Pliszczuk; Jakub Pizon (SenSys, 2025)